Update README.md

README.md

@@ -22,12 +22,12 @@ model-index:
 
 # **Reinforce** Agent playing **LunarLanderContinuous-v2**
 This is a custom REINFORCE RL agent. Performance has been measured over 900 episodes.
-To try the agent, user needs to import the ParameterisedPolicy class from the agent_class.py file. </br>
+To try the agent, user needs to import the `ParameterisedPolicy` class from the agent_class.py file. </br>
 Training progress:
 ![training](training_graph.jpg)
 
 Numbers on X axis are average over 40 episodes, each lasting for about 500 timesteps on average. So in total the agent was trained over about 5e6 timesteps.
-Learning rate decay schedule: <code>torch.optim.lr_scheduler.StepLR(opt, step_size=4000, gamma=0.7)</code> Training code is shown in the training.py file for reference.
+Learning rate decay schedule: <code>torch.optim.lr_scheduler.StepLR(opt, step_size=4000, gamma=0.7)</code>. Training code is shown in the training.py file for reference.
 
 Minimal code to use the agent:</br>
 ```